About

Sai Rahul Kaminwar is a highly skilled Machine Learning Researcher with a Master's degree in Information Technology. He has a strong passion for Data Science and its ability to transform data into value. Sai has demonstrated expertise in Machine Learning, Deep Learning, Microsoft Azure, Elastic Search, and DevOps. Currently, Sai works as a Machine Learning Researcher at Fraunhofer IIS, where he is involved in developing cutting-edge machine learning models and algorithms. Prior to this, he worked as a Master Thesis Student and Deep Learning Intern in Anomaly Detection at Bosch. During his time at Bosch, Sai designed and evaluated anomaly detector neural networks to detect unreliable noisy images that result in erroneous classification in autonomous driving. He also designed custom CNN layers that can be used to detect and correct errors in any computations that occurred due to hardware faults. Sai's educational background includes a Master's degree in Information Technology (Embedded Systems) from the University of Stuttgart and a Bachelor's degree in Electronics and Communications Engineering from VIT. Sai's technical stack includes ML, Research Scientist, Deep Learning, Adversarial Networks, Data Scientist, Elastic Search, DevOps, Search, Azure, CNN, and Neural Networks. Sai has 2.68 years of relevant experience in the field of machine learning and data science. Overall, Sai is a highly motivated and skilled machine learning researcher with a passion for transforming data into value. He has a strong track record of developing cutting-edge machine learning models and algorithms and is always eager to learn and take on new challenges.